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相关论文: An Estimator for the lensing potential from galaxy…

200 篇论文

The advent of new deep+wide photometric lensing surveys will open up the possibility of direct measurements of the dark matter halos of dwarf galaxies. The HSC wide survey will be the first with the statistical capability of measuring the…

宇宙学与河外天体物理 · 物理学 2020-10-02 Alexie Leauthaud , Sukhdeep Singh , Yifei Luo , Felipe Ardila , Johnny P. Greco , Peter Capak , Jenny E. Greene , Lucio Mayer

In this paper, we consider a statistical problem of learning a linear model from noisy samples. Existing work has focused on approximating the least squares solution by using leverage-based scores as an importance sampling distribution.…

机器学习 · 统计学 2016-02-11 Siheng Chen , Rohan Varma , Aarti Singh , Jelena Kovačević

In this paper we explore a quantitative and efficient method to constrain the halo properties of distant galaxy populations through ``galaxy--galaxy" lensing and show that the mean masses and sizes of halos can be estimated accurately,…

天体物理学 · 物理学 2009-10-28 Peter Schneider , Hans-Walter Rix

We study the constraints which the next generation of radio telescopes could place on the nature of dark energy, dark matter and inflation by studying the gravitational lensing of high redshift 21 cm emission, and we compare with the…

天体物理学 · 物理学 2009-06-23 R. Benton Metcalf , S. D. M. White

LISA might detect gravitational waves from mergers of massive black hole binaries strongly lensed by intervening galaxies (Sereno et al. 2010). The detection of multiple gravitational lensing events would provide a new tool for cosmography.…

宇宙学与河外天体物理 · 物理学 2015-05-27 M. Sereno , Ph. Jetzer , A. Sesana , M. Volonteri

Exploiting the full statistical power of future cosmic shear surveys will necessitate improvements to the accuracy with which the gravitational lensing signal is measured. We present a framework for calibrating shear with image simulations…

We evaluate the performance of the Lyman-$\alpha$ forest weak gravitational lensing estimator of Metcalf et al. on forest data from hydrodynamic simulations and ray-traced simulated lensing potentials. We compare the results to those…

宇宙学与河外天体物理 · 物理学 2025-01-30 Patrick Shaw , Rupert A. C. Croft , R. Benton Metcalf

Galaxy surveys are one of the most powerful means to extract the cosmological information and for a given volume the attainable precision is determined by the galaxy shot noise sigma_n^2 relative to the power spectrum P. It is generally…

宇宙学与河外天体物理 · 物理学 2009-09-02 U. Seljak , N. Hamaus , V. Desjacques

Upcoming surveys will measure the cosmic microwave background (CMB) weak lensing power spectrum in exquisite detail, allowing for strong constraints on the sum of neutrino masses among other cosmological parameters. Standard CMB lensing…

宇宙学与河外天体物理 · 物理学 2024-08-23 Delon Shen , Emmanuel Schaan , Simone Ferraro

We present imaging results and source counts from a deep ISOCAM cosmological survey at 15 microns, through gravitationally lensing galaxy clusters. We take advantage of the cluster gravitational amplification to increase the sensitivity of…

We present a tomographic cosmological weak lensing analysis of the HST COSMOS Survey. Applying our lensing-optimized data reduction, principal component interpolation for the ACS PSF, and improved modelling of charge-transfer inefficiency,…

We compare predictions for galaxy-galaxy lensing profiles and clustering from the Henriques et al. (2015) public version of the Munich semi-analytical model of galaxy formation (SAM) and the IllustrisTNG suite, primarily TNG300, with…

We use statistical inference theory to explore the constraints from future galaxy weak lensing (cosmic shear) surveys combined with the current CMB constraints on cosmological parameters, focusing particularly on the running of the spectral…

天体物理学 · 物理学 2009-11-10 Mustapha Ishak , Christopher M. Hirata , Patrick McDonald , Uros Seljak

The statistics of peaks in weak gravitational lensing maps is a promising technique to constrain cosmological parameters in present and future surveys. Here we investigate its power when using general extreme value statistics which is very…

宇宙学与河外天体物理 · 物理学 2016-12-12 Robert Reischke , Matteo Maturi , Matthias Bartelmann

Future surveys will access large volumes of space and hence very long wavelength fluctuations of the matter density and gravitational field. It has been argued that the set of secondary effects that affect the galaxy distribution,…

宇宙学与河外天体物理 · 物理学 2018-02-15 Christiane S. Lorenz , David Alonso , Pedro G. Ferreira

We present a method to estimate the lensing potential from massive galaxy clusters for given observational X-ray data. The concepts developed and applied in this work can easily be combined with other techniques to infer the lensing…

宇宙学与河外天体物理 · 物理学 2015-06-15 Sara Konrad , Charles L. Majer , Sven Meyer , Eleonora Sarli , Matthias Bartelmann

The detectors in mass spectrometers are precise enough to count ion events. In practice, the statistics of chemical noise are affected by large quantization errors and overdispersion because of amplification in the detector. The detector…

离散数学 · 计算机科学 2009-06-02 Sébastien Li-Thiao-Té

Combining different observational probes, such as galaxy clustering and weak lensing, is a promising technique for unveiling the physics of the Universe with upcoming dark energy experiments. Whilst this strategy significantly improves…

宇宙学与河外天体物理 · 物理学 2020-09-02 Rossana Ruggeri , Chris Blake

The determination of the galaxy luminosity function is an active and fundamental field in observational cosmology. In this paper we propose a cost effective way of measuring galaxy luminosity functions at faint magnitudes. Our technique…

天体物理学 · 物理学 2009-10-28 M. U. SubbaRao , A. J. Connolly , A. S. Szalay , D. C. Koo

We propose a new approach for measuring the mass profile and shape of groups and clusters of galaxies, which uses lensing magnification of distant background galaxies. The main advantage of lensing magnification is that, unlike lensing…

宇宙学与河外天体物理 · 物理学 2015-05-18 Ludovic Van Waerbeke , Hendrik Hildebrandt , Jes Ford , Martha Milkeraitis